人工智能与深度学习背景下校园足球教学的困境与策略

IF 0.5 Q4 ENGINEERING, MULTIDISCIPLINARY
Chongjiang Zhan, Pengtao Cui
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引用次数: 0

摘要

近年来,人工智能在教育各个领域的应用日益成为社会热点,人们也开始将人工智能的研究作为推动教育发展的手段。通过人工智能促进教学公平,提高教育质量,是实现教育发展的重要突破口。足球是世界第一运动,一般来说,足球的发展水平表明了一个国家体育发展的水平。本研究将人工智能技术和深度学习方法与学校足球相结合,从技术角度解决学校足球发展问题,具有一定的现实意义,填补了该领域的研究空白,促进了该领域的发展。因此,如何利用人工智能和深度学习来开展学校足球教学具有重要意义。本文按照提问解决问题的思路,首先阐述了人工智能、深度学习等技术的研究,然后深入调查了学校足球发展的困境,通过问卷调查法和实地访谈法得出了学校足球参与总体满意度低、参与成绩集中、技能学习水平低的现状;针对这些问题,我们提出完善人工智能的底层数据,促进人工智能与教育的融合,在大数据战略的推动下,人工智能在教育领域的发展。最后,对本文的研究内容进行了总结。本文从技术角度探讨教育困境,具有创新性和专业性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predicament and strategy of campus football teaching under the background of artificial intelligence and deep learning
In recent years, the application of artificial intelligence in various fields of education has increasingly become a social hotspot, and people have begun to use the research of artificial intelligence as a means to promote the development of education. Promoting teaching equality and improving the quality of education through AI is an important breakthrough in achieving educational development. Soccer is the number one sport in the world, and generally speaking the level of development of soccer indicates the level of development of sports in that country. This study combines artificial intelligence technology and deep learning methods with school soccer to solve school soccer development problems from a technical perspective, which has certain practical significance, fills the research gap in this field, and promotes the development of this field. Therefore, how to use artificial intelligence and deep learning to develop soccer teaching in schools is of great significance. The article proceeds according to the idea of asking questions to solve problems, this paper firstly explains the research on technologies such as artificial intelligence and deep learning, after that, we deeply investigate the dilemma of school soccer development, through questionnaire method and field interview method we come up with the current situation of low overall satisfaction of school soccer participation, concentration of participation grades and low level of skill learning, for which we propose to improve the underlying data of artificial intelligence for these problems, the Promote the integration of AI and education, and the development of AI in education driven by big data strategies. Finally, the research content of the paper is summarized. This paper is innovative and professional in addressing the dilemmas in education from a technical perspective.
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来源期刊
CiteScore
0.80
自引率
0.00%
发文量
152
期刊介绍: The major goal of the Journal of Computational Methods in Sciences and Engineering (JCMSE) is the publication of new research results on computational methods in sciences and engineering. Common experience had taught us that computational methods originally developed in a given basic science, e.g. physics, can be of paramount importance to other neighboring sciences, e.g. chemistry, as well as to engineering or technology and, in turn, to society as a whole. This undoubtedly beneficial practice of interdisciplinary interactions will be continuously and systematically encouraged by the JCMSE.
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